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The great buy-in: How to learn to love AI at work

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The conversation around AI is changing — and the emphasis on the augmentation of current workers, rather than the wholesale replacement of segments of the workforce, is a significant (and many would argue, necessary) shift. However, anxiety and fear are still tough contenders for those trying to usher in a new era of AI-assisted workplaces.

“It all comes down to what people want to change,” said Matas Sriubiskis, Growth Analyst at Zoom.ai, during the recent mesh conference meetup at Spaces in downtown Toronto.

Zoom.ai is a chat-based productivity tool that helps employees automate everyday tasks including searching for files, scheduling meetings, and generating documents. In an interview with DX JournalSriubiskis said public opposition to AI remains a major stumbling block not just for technology companies, but for businesses around the world.

As the language around AI changes, it becomes obvious that people want change from the technology, but remain hesitant about the disruptive effect AI-based automation could bring to their industries.

As highlighted in a recent Forbes article, knowledge-based workers with tenure, who have developed their skill-set over a period of time, are acting along the lines of basic psychology when it comes to fear surrounding automation. Unfortunately, that push-back can severely stunt the success of digital transformation projects designed to improve the lives of workers throughout the company, not replace them.

“A lot of people are afraid that AI’s going to take their job away,” said Sriubiskis. “That’s because that’s the narrative that we’ve seen for so long. It’s now about shifting the narrative to: AI’s going to make your job better and give you more time to focus more on the things that you’ve been hired to do because you’re good at doing them. There are tons of websites online talking about whether your job’s going to be taken away by AI, but they never really talk about how people’s jobs are going to be improved and what things they won’t have to do anymore so they can focus on the things that actually matter.”

Buy-in requires tangible results

This general AI anxiety can seem like a big obstacle to companies looking to adopt AI — but there are important steps companies can take to ensure their AI on-boarding is done with greater understanding and effectiveness.

As startups and businesses look to break through the AI fear-mongering, they have to demonstrate measurable benefits to employees, showing how AI can make work easier. By building an understanding of how AI affects employees, showing them how it benefits them, and using that information to inspire confidence in the project, businesses can work to create a higher level of employee buy-in.

One of the simplest examples of how to demonstrate this kind of benefit comes from Zoom.ai’s digital assistant for the workplace. An immediately beneficial way AI can augment knowledge-based workers is by giving them back their time.According to McKinsey & Company research cited by Zoom.ai, knowledge workers spend 19 percent of their time — one day a week — searching for and gathering information, sequestered by app or database silos. By showing how the employee experience can be improved with the use of automated meeting scheduling or document retrieval, you generate employee buy-in, said Sriubiskis.

“For us, the greatest advantage is giving employees some of their time back, so they can be more effective in the role that they were hired to do. So if there’s a knowledge-based worker, and they’re an engineer for example, they shouldn’t be spending time booking meetings, generating documents, finding information or submitting IT tickets. Their time would be better spent putting it towards their engineering work. For an enterprise company, based on our cases, we estimate that we can give employees at least 10 hours back a month. That allows them to be more productive, increase their collaboration and their creativity, and the overall employee experience improves.”

Full comprehension of a problem leads to better implementation

Another way to ensure a greater level of employee confidence is to understand the core problem that AI could be used to solve. You can’t just throw AI at an issue, said Sriubiskis. The application of the AI solution has to make sense in the context of an identified problem.

“When a lot of companies talk about their current endeavours, they’re saying, ‘we’re exploring AI to do this.’ But they’re not actually understanding a core problem that their employees are facing. If you just try to throw a new technology at a problem you don’t fully understand, you’re not going to be as successful as you want. You might be disappointed in that solution, and people are going to be frustrated that they wasted time without seeing any results.”

This deliberate effort to understand a key problem before implementing a solution can drive to better outcomes. That’s why Zoom.ai has incorporated this kind of core observation into its process of on-boarding clients or approaching a new project.

“Before we do a proof-of-concept or a pilot now,” said Sriubiskis, “we require companies to do an interview with some of our product and our UI/UX team. That way, we can understand how they do things currently, but also so we can provide a quantitative metric. Qualitative is nice, but people also want to see the results, and make sure their work was worth it. We  make sure to interview a whole bunch of users, clearly understand the problem, and make sure what we’re doing isn’t a barrier to what they’re actually trying to solve, it’s going to help it and help it more over time.”

These approaches are all about making the team of employees feel like an AI solution is working for them, leading to greater effectiveness of AI implementation to augment the workforce. It remains key, said Sriubiskis, to make sure employees can see the tangible benefits of the technology. Zoom.ai makes that employee experience a core part of their on-boarding process: “We report back to our users and tell them how many hours they’ve saved. So they see how the actual improvements are seen by them, not just by management or the company as a whole.”

The future is filled with AI. It’s just a question of making sure it helps, not hurts, human capital — and that a positive transition to AI tools prioritizes the employee experience along the way.

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 Where is Canada with hydrogen?

It’s in the early stages, but it’s happening now, says clean tech expert Bryan Watson.

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Could the words “gas station” disappear any time soon, with the rising number of vehicles running on sources other than fossil fuels?

Whereas electric vehicles are all too familiar, various companies, experts, and think-tanks say the newest fuel on the block will be hydrogen. It’s been the focus lately of new government investment, research, and so far, small-scale adoption. Among its many benefits, hydrogen’s vehicle exhaust is just water. 

Clean tech expert Bryan Watson, Founding Director of OCTIA (Ontario Clean Technology Industry Association), says that hydrogen is the next ‘it’ fuel.

“It’s early, but it is happening now. There are trucking companies, bus companies, dump truck companies, all of these are being… retrofit and they’re sort of the early stages of it, but it’s happening now.”

For example, Canadian Pacific Railway has recently completed a trial run, powering a train with hydrogen fuel in Calgary. Routes in Vancouver, Edmonton, and Calgary, and through the Rockies will follow in coming months. 

And as part of a one-year pilot project two hydrogen buses will take passengers in Edmonton and nearby Strathcona County. Also in Edmonton, a hydrogen fuelling station is under construction for Alberta Motor Transport Association’s testing of semi-trucks on the highways.

The pace of innovation

A big question for the naysayers or cynics might be: What happens if hydrogen advances fast enough to replace the EV market, before that widespread adoption?

“I don’t think it’s an either-or argument,” said Watson. 

Hydrogen and batteries do similar things, he added, “but sometimes the way you’re using the asset makes a difference.” In mining, he explained, it’s better to have the higher energy output that hydrogen can sometimes produce, compared to some batteries. “Or maybe you don’t have the connectivity to the grid to be able to fast charge (electric vehicles) on a mine site. But you do have the ability to get hydrogen there.” 

He added that he has seen schematics for hybrids of hydrogen and battery to manage the different energy needs of a particular type of vehicle. “So we’re still calibrating the market to those technologies,” he said. “We’re literally redefining a whole part of our infrastructure.”

What about government support?

The Canadian government has stepped up to the plate in embracing this innovation, especially in what looks like a direct response to the passage of the Inflation Reduction Act in U.S. Congress last year, that provides incentives for clean energy projects — including hydrogen.

The Trudeau government announced its own plans, as outlined in Finance Minister Chrystia Freeland’s fall economic update. Previously, in 2020, the government released a hydrogen strategy. This 141-page document outlined, among several things, the intent to become a world-leading producer of hydrogen, with the goal of achieving zero-net emissions by 2050.

Watson, who is Vice President of Venbridge, said that there are some tax incentives for corporations to catch up to hydrogen. With the Canadian budget of 2022 came a variety of Clean Energy Incentives and Resource Sector Measures, like the Investment Tax Credit for Carbon Capture, Utilization, and Storage (CCUS Credit, up to 60%) as well as a clean tech tax credit (up to 30%). And in the fall economic statement, he added, the hydrogen production tax credit was announced, rebating 18.5 to 40 percent. As of 2023’s budget, he said it includes the clean technology, manufacturing tax credits, and the clean electricity tax credits. 

EVs vs. hydrogen

In an in-depth look at EVs vs hydrogen, HotCars.com found that hydrogen-powered vehicles have some benefits that EVs do not. For starters, they have a 300-mile range, while EVs have a range of roughly 200 miles. In cold conditions, the EV range decreases, but hydrogen-powered vehicles do not. A car powered by hydrogen could take up to 10 minutes to get completely fueled, while an electric one can take up to 45 minutes, the report also said. 

“I’ve actually seen in some cases with battery electric vehicles… the local grid is not stable enough, or (the charge) would be too much of a draw for that grid… because the grid itself isn’t robust enough in some areas. So having a portable (hydrogen) power source makes sense,” said Watson, who is also Managing Director of CleanTech North.

Another big selling point for hydrogen fuel cells, is that it takes up a small fraction of the space an EV battery might. 

There are already local filling stations for hydrogen-powered vehicles — just a handful so far. The Canadian Hydrogen and Fuel Cell Association says there’s one in the Greater Toronto Area, one in Quebec, three in Vancouver and one in Victoria

The latter two inspired British Columbia courier company, Geazone, to recently order 40 hydrogen-fueled Toyota Mirais. British Columbia’s government has committed $10 million to build more stations. 

Canada, for its part, is already one of the world’s top ten producers of hydrogen, a homegrown market of about $6 billion annually.

Scaling hydrogen production in Canada

Alberta has signaled that they want in on the action, issuing its 2021 Hydrogen Road Map. The province currently produces around 2.4 million tonnes of hydrogen per year, aiming to increase it to three million in the next six years. 

In 2021, Air Products Inc. — touted as the largest hydrogen producer in the world — signed a plan for a $1.3-billion net-zero hydrogen plant in Edmonton whose construction is “well underway” as of April, 2023. 

Nova Scotia, meanwhile, has a few plans in the works to produce more hydrogen fuel. 

Ultimately, all-natural fuels as a substitute for gasoline have been in use for some time. Hydrogen has a big head start, boosts from governments and corporations, and looks to be the answer — at least for now — to wean ourselves off fossil fuels.

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80% of electronic waste in Canada went “uncollected” and “unrecycled” in 2020

According to University of Waterloo researchers, the amount of electronic waste in Canada has more than tripled in the last 20 years.

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When you think of waste management and reduction, you might picture dump trucks of food waste, packaging, and of course — plastic straws. 

But a less discussed type of waste is building up in Canada: electronic waste, or e-waste, meaning electronics that no longer work or are needed. Examples include:

  • Computers
  • Televisions
  • Stereos
  • Fax and copy machines
  • Headphones and radios
  • Electric appliances
  • Other electronic products

The study reminds readers that electronic waste has a large number of hazardous materials in its composition, including: 

  • Mercury
  • Cadmium
  • Lead
  • Arsenic
  • Chlorofluorocarbons (CFCs)
  • Brominated flame retardants (BFRs)
  • Polybrominated diphenyl ethers (PBDEs)
  • Polychlorinated biphenyls (PCBs)

Now, Canada doesn’t show up in the top 10 countries with the biggest e-waste generation. We’re looking at China, the US, and India as the top three. 

Still, a study by researchers at the University of Waterloo found that Canada’s e-waste tripled in the last two decades. 

Canada doesn’t have many up-to-date studies on national e-waste

Released in May 2023, this University of Waterloo study is reasonably named the “first comprehensive estimate of e-waste in Canada.” 

Researchers estimated e-waste figures based on data from import and export statistics, as well as in-use stocks of electrical and electronic equipment from 1971 to 2030. 

E-waste has tripled in the last twenty years in Canada

The study mentions how society has dramatically advanced with digitization and technology, resulting in newer electronic equipment by the year. 

However, this increase resulted in the simultaneous decommissioning of older electronic equipment because they become irrelevant or unusable faster. The result?

“Faster stockpiling of waste electrical and electronic equipment.”

Just how much waste are we talking? The study’s 60-year historical and projected period suggests a total of 29.1 million tonnes of e-waste, with consistent growth each year at 0.5%. 

But how did Canada fare in the years we have solid data for? Researchers note: 

  • 252 kilo tonnes in 2000
  • 954 kilo tonnes in 2020

While businesses account for more significant outputs of e-waste, the study calculated a per-capita e-waste generation of: 

  • 8.3kg in 2000
  • 25.4 kg in 2020
  • Estimated 31.5 kg in 2030

How to move forward with e-waste

The study’s data presents an opportunity for policymakers to better understand: 

  • Life cycle of electronic products
  • Reasonable targets for waste reduction
  • Resource circularity potential for e-waste management

Read the full University of Waterloo study.

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 Leading insurance company Chubb goes all in on AI

A look at how the billion-dollar insurance company plans to embrace AI in all business areas.

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Insurance claims aren’t supposed to take longer than a few weeks to settle — but some can take as long as several months. This is just one business challenge that AI helps insurance companies overcome.

And Chubb, one of the world’s biggest insurance companies, has taken note. 

Founded in 1882, Chubb is a leading insurance company based in Switzerland with offices worldwide — including a new tech services center in Greece. 

CEO Evan Greenberg recently shared a company-wide adoption of artificial intelligence (AI) on a larger scale with investors. 

The company’s newest services center in Thessaloniki, Greece, is expected to spearhead AI initiatives to improve digital transformation, efficiency, and customer experience. The common denominator? AI, specifically automation, machine learning, and cybersecurity modernization. 

So, what can AI do for the average insurance company?

  • Fraud detection: Insurance companies lose over $40 billion per year due to fraudulent claims, a contributor to increased premiums. Machine learning overcomes human limitations when detecting fraudulent indicators. The algorithms continuously improve based on data, which can save insurance companies tons of money. 
  • Risk assessment: Every insurance underwriter uses customer-provided data to assess risk and determine coverage accordingly. But if customers fabricate information, or if underwriters make mistakes, risk could either be over- or under-accounted for. AI helps companies minimize the chance of dishonesty seeping through by catching human-crafted answers versus accurate ones. 
  • Customer service and overall efficiency: Indeed, most people have a negative perception of insurance companies. But quicker claims, risk assessments, policy purchases, and settlements will support better customer experiences in the insurance industry — all thanks to a customer-centric shift powered by AI. Some companies are already using AI-powered chatbots to support customers in finding the most suitable policies for their needs and income. 
  • Labour savings: A double-edged sword, AI development in the insurance field will allow companies to hire fewer underwriters and agents, which saves on labour costs. Still, McKinsey points out that this shift would result in transitioning the agent’s role from handling “busy” work and “data collection” to “process facilitation and product educators.” 

Greenberg attributed AI to improved operations like underwriting, customer experience and service, marketing, and more. The benefits are fuelling the company’s shift to wider-spread adoption. 

Read the full story here

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